Kurtosis as Peakedness, 1905–2014. R.I.P.
2014; Taylor & Francis; Volume: 68; Issue: 3 Linguagem: Inglês
10.1080/00031305.2014.917055
ISSN1537-2731
Autores Tópico(s)Financial Risk and Volatility Modeling
ResumoThe incorrect notion that kurtosis somehow measures "peakedness" (flatness, pointiness or modality) of a distribution is remarkably persistent, despite attempts by statisticians to set the record straight. This article puts the notion to rest once and for all. Kurtosis tells you virtually nothing about the shape of the peak - its only unambiguous interpretation is in terms of tail extremity; i.e., either existing outliers (for the sample kurtosis) or propensity to produce outliers (for the kurtosis of a probability distribution). To clarify this point, relevant literature is reviewed, counterexample distributions are given, and it is shown that the proportion of the kurtosis that is determined by the central μ ± σ range is usually quite small.
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